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IDEAL
2009
Springer
15 years 10 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
CIMCA
2005
IEEE
15 years 11 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
IROS
2006
IEEE
123views Robotics» more  IROS 2006»
16 years 6 days ago
Robot Navigation based on the Mapping of Coarse Qualitative Route Descriptions to Route Graphs
— This paper describes the use of natural language route descriptions in the mobile robot navigation domain. Guided by corpus analysis and earlier work on coarse qualitative rout...
Christian Mandel, Udo Frese, Thomas Röfer
IS
2010
15 years 4 months ago
Building concepts for AI agents using information theoretic Co-clustering
Abstract--High level conceptual thought seems to be at the basis of the impressive human cognitive ability, and AI researchers aim to replicate this ability in artificial agents. C...
Jason R. Chen
ATAL
2000
Springer
15 years 10 months ago
Layered Disclosure: Revealing Agents' Internals
A perennial challenge in creating and using complex autonomous agents is following their choices of actions as the world changes dynamically and understanding why they act as they ...
Patrick Riley, Peter Stone, Manuela M. Veloso